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When searching multiple databases, the same study often appears more than once. EviSyn uses a multi-layered approach that catches 95%+ of duplicates — including near-matches that traditional tools miss.

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Running Deduplication

Navigate to Deduplication from your project dashboard. Deduplication page with duplicate groups You have two scan options:

Scan for Duplicates

Fast scan using DOI matching, exact title matching, and fuzzy title matching (85%+ similarity). Takes seconds.

Run Semantic Analysis

Deep scan using AI-powered semantic similarity. Catches papers that describe the same study with completely different wording. Takes longer but finds more duplicates.

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The 4 Detection Layers

LayerMethodWhat it catches
1Exact DOIIdentical papers with the same DOI across databases
2Exact titleSame title with different formatting or capitalization
3Fuzzy titleTitles with slight differences (abbreviations, typos) — 85%+ similarity
4SemanticPapers describing the same study in completely different words

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Reviewing Duplicate Groups

Each group of potential duplicates shows:
  • Match type badge (e.g., “Fuzzy Title Match”)
  • Similarity score for each paper (e.g., 100%, 88%, 85%)
  • Full metadata: title, authors, journal, DOI

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Resolution Options

For each group, you can:
ActionWhat it does
Keep ThisDesignate this paper as the primary record
Keep All (Not Duplicates)Mark all papers in the group as unique — they are not actually duplicates
Always check the DOIs and author lists before resolving. Fuzzy matches sometimes catch related but distinct papers (e.g., study protocol vs. results paper).

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What’s Next?

Once all duplicate groups are resolved, proceed to AI Screening to screen your papers.